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Table 2 Accuracy of imputation for the cattle dataset

From: A phasing and imputation method for pedigreed populations that results in a single-stage genomic evaluation

  

Cat99

 

Cat95

 

Cat90

 

Cat85

 

Unmapped

Category1

Count2

AI3

I24

AI3

I24

AI3

I24

AI3

I24

AI3

BothParents

28

0.97

0.64

0.99

0.92

0.99

0.94

1.00

0.95

0.85

SireMGS

224

0.87

0.60

0.97

0.91

0.98

0.95

0.99

0.96

0.82

DamPGS

7

0.92

0.63

0.97

0.87

0.98

0.91

0.98

0.95

0.84

Sire

144

0.86

0.60

0.96

0.90

0.98

0.95

0.98

0.96

0.82

Dam

4

0.95

0.63

0.98

0.90

0.99

0.97

0.99

0.95

0.85

Other

219

0.84

0.58

0.94

0.90

0.96

0.95

0.97

0.96

0.82

  1. 1Animals in the testing set were divided into six categories depending on their pattern of relationship to their most recent densely genotyped ancestors; the categories were: both parents genotyped (BothParents); sire and maternal grandsire (SireMGS); dam and paternal grandsire (DamPGS); sire only (Sire); dam only (Dam); and other relatives (Other); 2Count refers to the number of individuals in each category; 3AI=AlphaImpute; I24=IMPUTE2
  2. 3AlphaI = AlphaImpute.